XU Kui,LI Tanbao,LI Zhanbin,et al.Temporal and Spatial Evolution and Influencing Factors of Wind Erosion Climatic Erosivity in Ningxia[J].Research of Soil and Water Conservation,2023,30(04):217-227,235.[doi:10.13869/j.cnki.rswc.2023.04.030.]
宁夏风蚀气候侵蚀力时空演变及影响因素分析
- Title:
- Temporal and Spatial Evolution and Influencing Factors of Wind Erosion Climatic Erosivity in Ningxia
- 文章编号:
- 1005-3409(2023)04-0217-11
- 分类号:
- S157.1
- 文献标志码:
- A
- 摘要:
- [目的]揭示宁夏回族自治区风蚀气候侵蚀力(C值)的时空演变特征,阐明宁夏气候对风蚀的影响及因素,进而为宁夏风蚀评估提供科学依据。[方法]基于宁夏及周边气象站1965—2019年的观测数据,根据FAO风蚀气候侵蚀力计算公式,利用Mann-Kendall趋势检验、Pettitt突变点检验、Morlet小波分析及随机森林等方法,开展了宁夏风蚀气候侵蚀力时空演变及影响因素的研究。[结果](1)宁夏多年平均C值为23.8,在年尺度和季节尺度上呈现可持续的显著减少趋势,且春冬季高、夏秋季低。(2)多年平均C值在空间上呈现中北部高、南部低的分布,显著减少的站点共8个,且均呈现可持续性。(3)除夏季尺度外,其他季节尺度和年尺度的C值均在2003年前后发生显著突变,且均存在一个30 a左右的主周期。(4)影响C值最主要的因子是风速,其次是降水量、相对湿度、热力因子、太平洋年代际振荡指数。[结论]宁夏属于干旱半干旱地区气候侵蚀力较弱的区域,风速是影响宁夏C值最主要的因子。
- Abstract:
- [Objective] This paper reveals the temporal and spatial evolution characteristics of wind erosion climate erosivity(C factor)in Ningxia Hui Autonomous Region, expounds the influence and factors of Ningxia climate on wind erosion, and further provides scientific basis for wind erosion evaluation in Ningxia. [Methods] Based on the observation data of Ningxia and its surrounding weather stations from 1965 to 2019, according to FAO wind erosion climate erosivity calculation formula, this paper evaluates the temporal and spatial evolution of wind erosion climate erosivity and its influencing factors in Ningxia by using Mann-Kendall trend test, Pettitt catastrophe test, Morlet wavelet analysis and random forest. [Results](1)The average C factor of Ningxia was 23.8, on the annual scale and seasonal scale, it showed a sustainable and significant decreasing trend, which was higher in spring and winter and lower in summer and autumn.(2)The average C factor for many years showed a high distribution in the north-central part and a low distribution in the south. A total of 8 stations were significantly reduced, and all of them are sustainable.(3)Except for the summer scale, the C factor of other seasonal scales and annual scales all changed significantly around 2003, and there was a main period of about 30 years.(4)The most important factor affecting C factor was wind speed, followed by precipitation, relative humidity, thermal factors and Pacific Decadal Oscillation. [Conclusion] Ningxia belongs to the arid and semi-arid areas with weak climate erosion,and wind speed is the most important factor affecting Ningxia's C factor.
参考文献/References:
[1] 陈渭南.蒙陕接壤地区土壤母质的风蚀实验研究[J].水土保持学报,1991,5(1):33-40.
[2] 陈渭南,董光荣,董治宝.中国北方土壤风蚀问题研究的进展与趋势[J].地球科学进展,1994,9(5):6-12.
[3] Yue S, Yang R, Yan Y, et al. Spatial and temporal variations of wind erosion climatic erosivity in the farming-pastoral zone of Northern China[J]. Theoretical and Applied Climatology, 2019,135(3):1339-1348.
[4] 张晓虹,何有华,胡彦婷.干旱风沙区水库边缘植被-风力侵蚀的变化及成因[J].水土保持通报,2020,40(6):1-7,22.
[5] Chepil W S, Siddoway F H, Armbrust D V. Climatic factor for estimating wind erodibility of farm fields[J]. Journal of Soil and Water Conservation, 1962,17(4):162-165.
[6] 刘慧,李晓英,肖建华,等.1961—2015年雅鲁藏布江流域风蚀气候侵蚀力变化[J].地理科学,2019,39(4):688-695.
[7] Food and Agriculture Organization of the United Nations: A Provisional Methodology for Soil Degradation Assessment[M]. Rome: FAO,1980.
[8] Skidmore E L. Wind erosion climatic erosivity[J]. Climatic Change,1986,9(1/2):195-208.
[9] 董玉祥,康国定.中国干旱半干旱地区风蚀气候侵蚀力的计算与分析[J].水土保持学报,1994,8(3):1-7.
[10] 方祖光,谢皎如.福建沿海地区干燥度和风蚀气候侵蚀力的计算与分析[J].福建师范大学学报:自然科学版,1997,13(3):96-103.
[11] 王永,赵举,程玉臣.阴山北麓农牧交错带风蚀气候侵蚀力的计算与分析[J].华北农学报,2005,20(S1):57-60.
[12] 邹春霞,申向东,李夏子,等.内蒙古阴山北麓农牧交错带风蚀气候侵蚀力特征[J].吉林大学学报:地球科学版,2011,41(4):1172-1178.
[13] 马茜茜,肖建华,姚正毅,等.1960—2017年阿拉善高原风蚀气候侵蚀力时空演变[J].地理科学,2021,41(6):1096-1104.
[14] 璩向宁.宁夏沙区生态环境建设的基本理论问题[J].水土保持研究,2002,9(3):155-157.
[15] 崔文斌.宁夏某铜尾矿风蚀特征及潜力评价[D].银川:宁夏大学,2021.
[16] Allen R G, Pereira L S, Raes D, et al. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56[M].Rome: FAO,1998.
[17] 贾路,于坤霞,邓铭江,等.西北地区降雨集中度时空演变及其影响因素[J].农业工程学报,2021,37(16):80-89.
[18] 魏凤英.现代气候统计诊断与预测技术[M].2版.北京:气象出版社,2007.
[19] 邵骏.基于交叉小波变换的水文多尺度相关分析[J].水力发电学报,2013,32(2):22-26,42.
[20] Breiman L. Random forests[J]. Machine Learning, 2001,45(1):5-32.
[21] 雷杨娜,雷田旺,程路.陕西省风蚀气候侵蚀力时空演变特征[J].陕西气象,2022(1):28-34.
[22] 刘旭东,左合君,闫敏.锡林郭勒地区风蚀气候侵蚀力时空变化规律研究[J].内蒙古师范大学学报:自然科学汉文版,2019,48(2):142-147,153.
[23] 梁会,田美荣,钱金平,等.基于风蚀模型的宁夏土壤风蚀特征及影响因素[J].水土保持研究,2019,26(1):34-40.
[24] 杨修群,王国民,张向东,等.大气环流与灾害性天气气候研究:黄士松先生学术成就和贡献回顾[J].气象科学,2020,40(5):569-584.
[25] Meijers A J S, Ceroveˇ/cki I, King B A, et al. A see-saw in Pacific subantarctic mode water formation driven by atmospheric modes[J]. Geophysical Research Letters, 2019,46(22):13152-13160.
[26] 董海霞.变化环境下降水-气温相依结构的非一致性诊断及驱动力探究[D].西安:西安理工大学,2021.
[27] 祁栋林,李晓东,苏文将,等.近50年青海省风蚀气候侵蚀力时空演变趋势[J].水土保持研究,2015,22(6):234-239.
[28] 任景全,郭春明,李建平,等.气候变化背景下吉林省风蚀气候侵蚀力时空特征[J].水土保持研究,2017,24(6):233-237.
相似文献/References:
[1]任景全,郭春明,李建平,等.气候变化背景下吉林省风蚀气候侵蚀力时空特征[J].水土保持研究,2017,24(06):233.
REN Jingquan,GUO Chunming,LI Jianping,et al.Spatiotemporal Characteristics of Wind Erosion Climatic Erosivity Under Climate Change in Jilin Province[J].Research of Soil and Water Conservation,2017,24(04):233.
[2]祁栋林,李晓东,苏文将,等.近50年青海省风蚀气候侵蚀力时空演变趋势[J].水土保持研究,2015,22(06):234.
QI Donglin,LI Xiaodong,SU Wenjiang,et al.Tendency of Spatiotemporal Evolution of Wind Erosion Climatic Erosivity in Qinghai Province in Recent 50 Years[J].Research of Soil and Water Conservation,2015,22(04):234.
[3]李达净,许端阳,丁雪,等.1981-2010年中国北方风蚀气候侵蚀力演变与植被动态响应[J].水土保持研究,2018,25(02):15.
LI Dajing,XU Duanyang,DING Xue,et al.Changes of Wind Erosion Climatic Erosivity and Vegetation Dynamics Response in Northern China from 1981 to 2010[J].Research of Soil and Water Conservation,2018,25(04):15.
[4]祁栋林,韩廷芳,赵全宁,等.青海省冬春季风蚀气候侵蚀力和起沙风日数的区域变化差异特征[J].水土保持研究,2019,26(02):23.
QI Donglin,HAN Tingfang,ZHAO Quanning,et al.Characteristics of Regional Variation of Wind Erosion Climatic Erosivity and Number of Wind Days in Winter and Spring in Qinghai Province[J].Research of Soil and Water Conservation,2019,26(04):23.
[5]柴素盈,曹 言,窦小东,等.1964-2017年南盘江流域主要极端气候事件时空演变特征[J].水土保持研究,2020,27(01):151.
CHAI Suying,CAO Yan,DOU Xiaodong,et al.Analysis Temporal and Spatial Changes of Extreme Climatic Events in Nanpan River Basin from 1964 to 2017[J].Research of Soil and Water Conservation,2020,27(04):151.
[6]周 渝,邓 伟,刘 婷,等.重庆都市区生态系统服务价值时空演变及其驱动力[J].水土保持研究,2020,27(01):249.
ZHOU Yu,DENG Wei,LIU Ting,et al.Spatio-temporal Evolution and Driving Force of Ecosystem Service Value in Chongqing Metropolitan Area[J].Research of Soil and Water Conservation,2020,27(04):249.
[7]全江涛,杨永芳,周嘉昕.河南省土地资源承载力时空演变分析与预测[J].水土保持研究,2020,27(02):315.
QUAN Jiangtao,YANG Yongfang,ZHOU Jiaxin.Analysis and Prediction of Spatial and Temporal Evolution of Land Resource Carrying Capacity in Henan Province[J].Research of Soil and Water Conservation,2020,27(04):315.
[8]龚亚男,韩书成,时晓标,等.广东省“三生空间”用地转型的时空演变及其生态环境效应[J].水土保持研究,2020,27(03):203.
GONG Yanan,HAN Shucheng,SHI Xiaobiao,et al.Temporal and Spatial Evolution and Associated Eco-environment Effects of the Land Use Transformation of Ecological-Production-Living Spaces in Guangdong Province[J].Research of Soil and Water Conservation,2020,27(04):203.
[9]韦宇婵,张丽琴.河南省土地生态安全警情时空演变及障碍因子[J].水土保持研究,2020,27(03):238.
WEI Yuchan,ZHANG Liqin.Spatiotemporal Pattern and Obstacle Factors of Land Eco-Security Early Warning in Henan Province[J].Research of Soil and Water Conservation,2020,27(04):238.
[10]伍宜丹,马 悦,吴浩然,等.基于MODIS-EVI指数的四川省植被指数时空演变特征及驱动力[J].水土保持研究,2020,27(05):230.
WU Yidan,MA Yue,WU Haoran,et al.Characteristics of Temporal and Spatial Evolution and Driving Forces of Vegetation Index in Sichuan Based on MODIS-EVI[J].Research of Soil and Water Conservation,2020,27(04):230.
备注/Memo
收稿日期:2022-05-05 修回日期:2022-05-26
资助项目:国家自然科学基金面上项目(52079104); 国家林业和草原局西北调查规划设计院项目(XBY-KJCX-2021-1); 宁夏区水利科技项目(SBZZ-J-2021-12,SBZZ-J-2021-13); 陕西省重点研发计划(2023-ZDLSF-60)
第一作者:许馗(1998—),男,河南许昌人,硕士研究生,研究方向为水文学及水资源。E-mail:15137467652@163.com
通信作者:于坤霞(1989—),女,河南新乡人,博士,副教授,主要从事水文学及水资源研究。E-mail:yukunxia@126.com